Overview
On Site
Full Time
Skills
Life Insurance
Underwriting
Deep Learning
Modeling
Ideation
Generative Artificial Intelligence (AI)
Innovation
Emerging Technologies
Research
Collaboration
Web Applications
Dashboard
Leadership
Business Strategy
Mentorship
Data Science
Machine Learning (ML)
Natural Language Processing
Optimization
Orchestration
Microsoft Certified Professional
Testing
Artificial Intelligence
Python
R
SQL
Database Design
Cloud Computing
Vector Databases
Semantic Search
Communication
Computer Science
Statistics
Applied Mathematics
Electrical Engineering
Physics
Job Details
Overall Responsibilities:
Candidate Requirements:
Education:
M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
- Architect and lead end-to-end ML/AI solutions supporting life insurance underwriting using LLMs, deep learning, and probabilistic modeling-from ideation to production.
- Deploy scalable GenAI and Agentic AI systems that directly support business goals.
- Establish and promote best practices in AI development and responsible AI deployment.
- Drive innovation by identifying emerging technologies and translating research into practical applications.
- Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs.
- Prototype and deliver AI-powered applications (e.g., web apps, dashboards, visualizations) that enable data-driven decisions.
- Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating insights effectively.
- Mentor and develop junior talent, fostering a culture of technical excellence and continuous learning.
Candidate Requirements:
- Recognized industry expertise in AI/ML, with a track record of delivering impactful solutions.
- 7+ years of experience in data science, machine learning, or AI engineering roles.
- Deep understanding of machine learning, statistics, NLP, optimization, and LLMs.
- Hands-on experience with AI deployment and orchestration frameworks and protocols (e.g., MLflow, llama-index, MCP).
- Extensive experience testing LLM behavior across a variety of foundation models and benchmarks.
- Experience building AI-powered applications and collaborating with software engineers and product managers.
- Strong programming skills in Python. Proficiency in R is a plus.
- Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search is a plus.
- Exceptional communication skills, with the ability to explain complex concepts to non-technical stakeholders.
Education:
M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.